Upload app.py

app.py

@@ -1,5 +1,29 @@
-import shutil
-import os
+# # -*- coding: utf-8 -*-
+# """fiver-app.ipynb
+
+# Automatically generated by Colaboratory.
+
+# Original file is located at
+#     https://colab.research.google.com/drive/1YQm_fGxa2nfiV8pTN4oBrlzzfefGadaP
+# """
+
+# !pip uninstall -y numpy
+# !pip install --ignore-installed numpy==1.22.0
+
+# !pip install langchain
+# !pip install PyPDF2
+# !pip install docx2txt
+# !pip install gradio
+# !pip install faiss-gpu
+# !pip install openai
+# !pip install tiktoken
+# !pip install python-docx
+
+# !pip install git+https://github.com/openai/whisper.git
+# !pip install sounddevice
+
+# import shutil
+# import os
 
 # def copy_files(source_folder, destination_folder):
 #     # Create the destination folder if it doesn't exist
@@ -20,10 +44,13 @@ import os
 
 # # Specify the source folder and destination folder paths
 # source_folder = "/kaggle/input/fiver-app5210"
-# destination_folder = "/local_db"
+# destination_folder = "/home/user/app/local_db"
 
 # copy_files(source_folder, destination_folder)
 
+# import shutil
+# import os
+
 # def copy_files(source_folder, destination_folder):
 #     # Create the destination folder if it doesn't exist
 #     if not os.path.exists(destination_folder):
@@ -43,7 +70,7 @@ import os
 
 # # Specify the source folder and destination folder paths
 # source_folder = "/kaggle/input/fiver-app-docs"
-# destination_folder = "/docs"
+# destination_folder = "/home/user/app/docs"
 
 # copy_files(source_folder, destination_folder)
 
@@ -51,8 +78,8 @@ import os
 import openai
 
 os.environ["TOKENIZERS_PARALLELISM"] = "false"
-os.environ["OPENAI_API_KEY"] 
-
+os.environ["OPENAI_API_KEY"] = "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"
+openai.api_key = "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"
 
 def api_key(key):
 
@@ -190,16 +217,17 @@ def delete_file():
         return "Already Deleted"
 
 import os
+import gradio as gr
 
-def list_files_in_directory(directory):
+def list_files():
+    directory = '/home/user/app/docs'
     file_list = []
     for root, dirs, files in os.walk(directory):
         for file in files:
             file_list.append(file)
-    return file_list
+    return gr.Dropdown.update(choices=file_list)
 
-directory_path = '/home/user/app/docs'
-file_list = list_files_in_directory(directory_path)
+file_list = list_files()
 
 print("List of file names in the directory:")
 for file_name in file_list:
@@ -281,6 +309,26 @@ def audio_text(filepath):
 
     return output
 
+def transcript(text):
+    from langchain.llms import OpenAI
+    from langchain import PromptTemplate, LLMChain
+    global response
+
+    question = "Use the following context given below to generate a detailed SOAP Report:\n\n"
+    question += text
+    print(question)
+
+    template = """Question: {question}
+
+    Answer: Let's think step by step."""
+
+    prompt = PromptTemplate(template=template, input_variables=["question"])
+    llm = OpenAI()
+    llm_chain = LLMChain(prompt=prompt, llm=llm)
+    response = llm_chain.run(question)
+
+    return response
+
 def text_soap():
     from langchain.llms import OpenAI
     from langchain import PromptTemplate, LLMChain
@@ -303,10 +351,13 @@ def text_soap():
 
     return response
 
+global path
+
 def docx(name):
     global response
     response = response
     import docx
+    global path
     path = f"/home/user/app/docs/{name}.docx"
 
     doc = docx.Document()
@@ -331,27 +382,27 @@ css = """
 with gr.Blocks(css=css) as demo:
     gr.Markdown("File Chatting App")
 
-    with gr.Tab("Chat with your Files"):
+    with gr.Tab("Chat with Files"):
       with gr.Column(elem_classes="col"):
 
-        with gr.Tab("Upload and Process your Files"):
+        with gr.Tab("Upload and Process Files"):
           with gr.Column():
 
-            api_key_input = gr.Textbox(label="Enter your API Key here")
+            api_key_input = gr.Textbox(label="Enter PI Key here")
             api_key_button = gr.Button("Submit")
             api_key_output = gr.Textbox(label="Output")
 
-            file_input = gr.Files(label="Upload your File(s) here")
+            file_input = gr.Files(label="Upload File(s) here")
             upload_button = gr.Button("Upload")
             file_output = gr.Textbox(label="Output")
 
             process_button = gr.Button("Process")
             process_output = gr.Textbox(label="Output")
 
-        with gr.Tab("Ask Questions to your Files"):
+        with gr.Tab("Ask Questions to Files"):
           with gr.Column():
 
-            search_input = gr.Textbox(label="Enter your Question here")
+            search_input = gr.Textbox(label="Enter Question here")
             search_button = gr.Button("Search")
             search_output = gr.Textbox(label="Output")
 
@@ -361,10 +412,10 @@ with gr.Blocks(css=css) as demo:
             delete_button = gr.Button("Delete")
             delete_output = gr.Textbox(label="Output")
 
-    with gr.Tab("Chat with your Local Files"):
+    with gr.Tab("Chat with Local Files"):
       with gr.Column(elem_classes="col"):
 
-        local_search_input = gr.Textbox(label="Enter your Question here")
+        local_search_input = gr.Textbox(label="Enter Question here")
         local_search_button = gr.Button("Search")
         local_search_output = gr.Textbox(label="Output")
 
@@ -374,28 +425,39 @@ with gr.Blocks(css=css) as demo:
     with gr.Tab("Ask Question to SOAP Report"):
       with gr.Column(elem_classes="col"):
 
-        soap_input = gr.Dropdown(choices=file_list, label="Choose File")
-        soap_question = gr.Textbox(label="Enter your Question here")
+        refresh_button = gr.Button("Refresh")
+        soap_input = gr.Dropdown(label="Choose File")
+        soap_question = gr.Textbox(label="Enter Question here")
         soap_button = gr.Button("Submit")
         soap_output = gr.Textbox(label="Output")
 
     with gr.Tab("Convert Audio to SOAP Report"):
       with gr.Column(elem_classes="col"):
 
-        audio_text_input = gr.Audio(source="microphone", type="filepath", label="Upload your Audio File here")
-        audio_text_button = gr.Button("Generate Transcript")
-        audio_text_output = gr.Textbox(label="Output")
+        mic_text_input = gr.Audio(source="microphone", type="filepath", label="Speak to the Microphone")
+        mic_text_button = gr.Button("Generate Transcript")
+        mic_text_output = gr.Textbox(label="Output")
+
+        upload_text_input = gr.Audio(source="upload", type="filepath", label="Upload Audio File here")
+        upload_text_button = gr.Button("Generate Transcript")
+        upload_text_output = gr.Textbox(label="Output")
+
+        transcript_input = gr.Textbox(label="Enter Transcript here")
+        transcript_button = gr.Button("Generate SOAP Report")
+        transcript_output = gr.Textbox(label="Output")
 
         text_soap_button = gr.Button("Generate SOAP Report")
         text_soap_output = gr.Textbox(label="Output")
 
-        docx_input = gr.Textbox(label="Enter the Name of .docx File")
+        docx_input = gr.Textbox(label="Enter the name of .docx File")
         docx_button = gr.Button("Save .docx File")
         docx_output = gr.Textbox(label="Output")
 
+
     api_key_button.click(api_key, inputs=api_key_input, outputs=api_key_output)
 
     upload_button.click(save_file, inputs=file_input, outputs=file_output)
+
     process_button.click(process_file, inputs=None, outputs=process_output)
 
     search_button.click(search_file, inputs=search_input, outputs=search_output)
@@ -406,27 +468,28 @@ with gr.Blocks(css=css) as demo:
     local_search_button.click(search_local, inputs=local_search_input, outputs=local_search_output)
     local_gpt_button.click(local_gpt, inputs=local_search_input, outputs=local_gpt_output)
 
+    refresh_button.click(list_files, inputs=None, outputs=soap_input)
     soap_button.click(soap_report, inputs=[soap_input, soap_question], outputs=soap_output)
 
-    audio_text_button.click(audio_text, inputs=audio_text_input, outputs=audio_text_output)
-    text_soap_button.click(text_soap, inputs=None, outputs=text_soap_output)
+    mic_text_button.click(audio_text, inputs=mic_text_input, outputs=mic_text_output)
+    upload_text_button.click(audio_text, inputs=upload_text_input, outputs=upload_text_output)
 
-    audio_text_button.click(audio_text, inputs=audio_text_input, outputs=audio_text_output)
+    transcript_button.click(transcript, inputs=transcript_input, outputs=transcript_output)
     text_soap_button.click(text_soap, inputs=None, outputs=text_soap_output)
     docx_button.click(docx, inputs=docx_input, outputs=docx_output)
 
 
 demo.queue()
-demo.launch()
-
+demo.launch(debug=True, share=True)
 
+ls /home/user/app/docs/
 
-# # Commented out IPython magic to ensure Python compatibility.
-# #download file_db
+# Commented out IPython magic to ensure Python compatibility.
+#download file_db
 
-# # %cd /kaggle/working/
+# %cd /home/user/app/
 
-# !zip -r "file_db.zip" "file_db"
+!zip -r "file_db.zip" "file_db"
 
-# from IPython.display import FileLink
-# FileLink("file_db.zip")
+from IPython.display import FileLink
+FileLink("file_db.zip")