Create app.py

app.py

@@ -0,0 +1,117 @@
+import streamlit as st
+import pandas as pd
+import re
+from openai import OpenAI
+import concurrent.futures
+import json
+import os
+
+def extract_and_parse_json_from_markdown(markdown_text: str) -> dict:
+    code_block_pattern = r"``````"
+    code_block_match = re.search(code_block_pattern, markdown_text)
+    
+    if code_block_match:
+        json_str = code_block_match.group(1).strip()
+    else:
+        json_str = markdown_text.strip()
+    
+    try:
+        return json.loads(json_str)
+    except json.JSONDecodeError as e:
+        raise ValueError(f"Invalid JSON format: {e}")
+
+def process_event(event):
+    openai = OpenAI(
+        api_key=os.environ.get('DEEP_API_KEY'),
+        base_url="https://api.deepinfra.com/v1/openai",
+    )
+
+    
+    llm_prompt = f""" 
+    You are a digital marketing campaign analyst designed to analyze and report digital marketing campaign data for Rod Wave concerts, Your job is to convert the given text into JSON
+
+    {{
+        "market": "str",
+        "total_spend": "float",
+        "impressions": "float",
+        "clicks": "float",
+        "metrics_cpc": "float",
+        "metrics_cpm": "float",
+        "metrics_ctr": "float",
+        "metrics_cpa": "float",
+        "platform_spend_meta_total": "float",
+        "platform_spend_meta_instagram": "float",
+        "platform_spend_meta_facebook": "float",
+        "platform_spend_google_total": "float",
+        "platform_spend_google_youtube": "float",
+        "platform_spend_google_search_display": "float",
+        "platform_spend_programmatic": "float",
+        "revenue_average_ticket_price": "float",
+        "revenue_total_revenue": "float",
+        "revenue_roi": "float"
+    }}
+
+    Here is Text for it:
+    {event}
+
+    Return in only JSON adhering to Above Schema
+    """
+    
+    chat_completion = openai.chat.completions.create(
+        model="meta-llama/Llama-3.3-70B-Instruct-Turbo",
+        messages=[{"role": "user", "content": llm_prompt}],
+    )
+    return chat_completion.choices[0].message.content
+
+def process_all_events(events):
+    json_all = []
+    progress_bar = st.progress(0)
+    
+    with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
+        futures = [executor.submit(process_event, event) for event in events]
+        
+        for i, future in enumerate(concurrent.futures.as_completed(futures)):
+            progress = (i + 1) / len(events)
+            progress_bar.progress(progress)
+            st.write(f"Processed event {i + 1}/{len(events)}")
+            json_all.append(future.result())
+    
+    return json_all
+
+def main():
+    st.title("Rod Wave Concert Marketing Data Processor")
+    st.write("Upload a text file containing concert marketing data to convert it to CSV format")
+    
+    uploaded_file = st.file_uploader("Choose a text file", type="txt")
+    
+    if uploaded_file is not None:
+        text = uploaded_file.read().decode("utf-8")
+        events = re.split(r'\n(?=Rod Wave Concert)', text)
+        events = [event for event in events if event.strip()]
+        
+        st.write(f"Found {len(events)} events to process")
+        
+        if st.button("Process Data"):
+            with st.spinner("Processing events..."):
+                json_all = process_all_events(events)
+                
+                json_sanity = []
+                for ele in json_all:
+                    json_sanity.append(extract_and_parse_json_from_markdown(ele))
+                
+                df = pd.DataFrame(json_sanity)
+                
+                st.success("Processing complete!")
+                st.write("Preview of processed data:")
+                st.dataframe(df.head())
+                
+                csv = df.to_csv(index=False)
+                st.download_button(
+                    label="Download CSV",
+                    data=csv,
+                    file_name="processed_concert_data.csv",
+                    mime="text/csv"
+                )
+
+if __name__ == "__main__":
+    main()