Create Gradio app

gradio_app.py

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+import gradio as gr
+import requests
+import numpy as np 
+import pandas as pd 
+from PIL import Image
+
+# api_key = "4e45e5b0" 
+
+# A function that takes a movie name and returns its poster image as a numpy array
+def get_poster(movie):
+    api_key = "4e45e5b0" 
+    base_url = "http://www.omdbapi.com/"
+    
+    params = {"apikey": api_key , "t": movie}
+    response = requests.get(base_url, params=params)
+    data = response.json()
+    
+    if data['Response'] == 'True': # Check if the response is successful
+        # Open the image from the url
+        poster_image = Image.open(requests.get(data['Poster'], stream=True).raw)
+        # Convert the image to a numpy array
+        poster_array = np.array(poster_image)
+        return poster_array 
+    
+    else:
+        return np.zeros((500, 500, 3))
+
+# A function that takes a movie name and returns its meta data
+def get_data(movie):
+    api_key = "4e45e5b0" 
+    base_url = "http://www.omdbapi.com/"
+    
+    params = {"apikey": api_key , "t": movie}
+    response = requests.get(base_url, params=params)
+    data = response.json()
+    
+    if data['Response'] == 'True': # Check if the response is successful  
+        poster = data["Poster"]
+        title = data["Title"]
+        director = data["Director"]
+        cast = data["Actors"]
+        genres = data["Genre"]
+        rating = data["imdbRating"]
+        # Return a dictionary with the information
+        return {
+                    
+            "poster": poster,
+            "title": title,
+            "director": director,
+            "cast": cast,
+            "genres": genres,
+            "rating": rating
+               }
+# Recommendation Function 
+from core import output_list
+def get_recommendations(input_list):
+    movie_names = output_list(input_list)
+    movies_data = [get_data(movie) for movie in movie_names]
+    
+    movie_posters = [get_poster(movie) for movie in movie_names]
+    
+    
+    return movie_names, movie_posters
+
+
+# HTML table 
+def generate_table(movies, posters):
+    html_code = ""
+    # Add the table tag and style attributes
+    html_code += "<table style='width:100%; border: 1px solid black; text-align: center;'>"
+    
+    for i in range(len(movies)):
+        movie_name = movies[i]
+        poster_array = posters[i]
+        movie_data = get_data(movie_name)
+        
+        # Extract the information from the dictionary
+        poster_url = movie_data["poster"]
+        title = movie_data["title"]
+        director = movie_data["director"]
+        cast = movie_data["cast"]
+        genres = movie_data["genres"]
+        rating = movie_data["rating"]
+        
+        # Add a table row tag for each movie
+        html_code += "<tr>"
+        # Add a table cell tag with the poster image as an img tag
+        html_code += f"<td><img src='{poster_url}' height='400' width='300'></td>"
+        # Add a table cell tag with the movie information as a paragraph tag
+        html_code += f"<td><p><b>Title:</b> {title}</p><p><b>Director:</b> {director}</p><p><b>Cast:</b> {cast}</p><p><b>Genres:</b> {genres}</p><p><b>Rating:</b> {rating}</p></td>"
+        # Close the table row tag
+        html_code += "</tr>"
+
+    # Close the table tag 
+    html_code += "</table>"
+    
+    return html_code
+
+# Display Function 
+user_input = {}
+def display_movie(movie, rating):
+    
+    global user_input 
+    user_input[movie] = rating 
+    poster = get_poster(movie)
+    
+    if len(user_input) == 5:
+        # Get the recommended movies from the input 
+        r_movies, r_posters = get_recommendations(user_input) 
+        
+        # Create a list with a list of HTML strings with information 
+        html_code =  generate_table(r_movies, r_posters)
+        
+        user_input = {}
+        # Return the output 
+        return f"Your movies are ready!\nPlease check the recommendations below.", np.zeros((500, 500, 3)), html_code
+    
+    else:
+        
+        # Return the input movie name and poster 
+        return f"You entered {movie} with rating {rating}", poster, ""
+
+# Interface 
+iface = gr.Interface(
+    
+    fn= display_movie, 
+    inputs= [gr.Textbox(label="Enter a movie name (five movie in total!)"), gr.Slider(minimum=0, maximum=5, step=1, label="Rate the movie")],
+    outputs= [gr.Textbox(label="Output", min_width=200), gr.components.Image(label="Poster", height=400, width=300), gr.components.HTML(label="Recommendations", height=400)],
+    live= False,
+    examples=[["The Matrix"], ["The Lion King"], ["Titanic"], ['Fight Club'], ["Inception"]], 
+    title = "Movie Recommender",
+
+    )
+
+iface.launch()
+