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Update app.py
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app.py
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import gradio as gr
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import pandas as pd
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import requests
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from typing import List, Dict, Any
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import os
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import time # For rate limiting
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# TMDB API Configuration
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TMDB_API_KEY = os.
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TMDB_API_TOKEN = os.
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TMDB_BASE_URL = "https://api.themoviedb.org/3"
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TMDB_IMAGE_BASE_URL = "https://image.tmdb.org/t/p/w500"
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def make_api_request(url, headers, params=None, max_retries=3, delay=2):
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"""Makes a request to the TMDb API with retries and rate limiting."""
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retries = 0
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while retries < max_retries:
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try:
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response = requests.get(url, headers=headers, params=params)
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response.raise_for_status() # Raise an exception for HTTP errors
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return response
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except requests.exceptions.RequestException as e:
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print(f"API request failed: {e}")
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retries += 1
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if retries < max_retries:
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print(f"Retrying in {delay} seconds...")
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time.sleep(delay)
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return None
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def fetch_genres() -> List[Dict[str, Any]]:
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"""Fetch movie genres from TMDB"""
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headers = {
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"Authorization": f"Bearer {TMDB_API_TOKEN}",
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"accept": "application/json"
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}
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return []
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def fetch_movies_by_genre(genre_id: str = None) -> pd.DataFrame:
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"""Fetch movies from TMDB, optionally filtered by genre"""
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@@ -60,31 +42,32 @@ def fetch_movies_by_genre(genre_id: str = None) -> pd.DataFrame:
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if genre_id and genre_id != "All":
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params["with_genres"] = genre_id
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movies = response.json()["results"]
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def get_movie_trailer(movie_id: int) -> str:
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"""Fetch movie trailer URL from TMDB"""
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@@ -93,24 +76,24 @@ def get_movie_trailer(movie_id: int) -> str:
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"accept": "application/json"
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}
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videos = response.json().get("results", [])
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# Initialize global variables
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genres = fetch_genres()
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return None, None, None
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selected_movie = content_df.iloc[selected_idx]
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return (
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selected_movie["title"],
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f"{selected_movie['title']}\n\nRating: {selected_movie['rating']}/10\n\n{selected_movie['overview']}"
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)
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# Gradio UI
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with gr.Blocks(theme=gr.themes.Soft()) as movie_app:
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gr.Markdown("
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with gr.Row():
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genre_dropdown = gr.Dropdown(
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)
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with gr.Row():
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with gr.Row():
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with gr.Column():
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gallery.select(
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fn=get_movie_info,
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outputs=[
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)
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rate_button.click(
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outputs=rating_output
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)
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# Launch app
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if __name__ == "__main__":
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movie_app.launch(
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import os
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import gradio as gr
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import pandas as pd
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import requests
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from typing import List, Dict, Any
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# TMDB API Configuration - Using environment variables for security
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TMDB_API_KEY = os.getenv("TMDB_API_KEY", "2818694258d166d0644b0f75a1b93e59")
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TMDB_API_TOKEN = os.getenv("TMDB_API_TOKEN", "eyJhbGciOiJIUzI1NiJ9.eyJhdWQiOiIyODE4Njk0MjU4ZDE2NmQwNjQ0YjBmNzVhMWI5M2U1OSIsIm5iZiI6MTczMDYxNjE4Mi4xODY5MDI4LCJzdWIiOiI2NzI3MWExYjM5OGM5MDQzZjgwZDEwOGEiLCJzY29wZXMiOlsiYXBpX3JlYWQiXSwidmVyc2lvbiI6MX0.G-pLEQKK3o5ISpb0CEztamPFGlsmpnPqPagawMve9dY")
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TMDB_BASE_URL = "https://api.themoviedb.org/3"
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TMDB_IMAGE_BASE_URL = "https://image.tmdb.org/t/p/w500"
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def fetch_genres() -> List[Dict[str, Any]]:
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"""Fetch movie genres from TMDB"""
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headers = {
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"Authorization": f"Bearer {TMDB_API_TOKEN}",
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"accept": "application/json"
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}
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try:
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response = requests.get(f"{TMDB_BASE_URL}/genre/movie/list", headers=headers)
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response.raise_for_status()
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return response.json()["genres"]
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except Exception as e:
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print(f"Error fetching genres: {e}")
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return []
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def fetch_movies_by_genre(genre_id: str = None) -> pd.DataFrame:
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"""Fetch movies from TMDB, optionally filtered by genre"""
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if genre_id and genre_id != "All":
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params["with_genres"] = genre_id
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try:
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response = requests.get(f"{TMDB_BASE_URL}/discover/movie", headers=headers, params=params)
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response.raise_for_status()
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movies = response.json()["results"]
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movie_data = {
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"title": [],
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"poster_url": [],
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"overview": [],
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"rating": [],
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"id": []
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}
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for movie in movies:
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movie_data["title"].append(movie["title"])
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movie_data["poster_url"].append(
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f"{TMDB_IMAGE_BASE_URL}{movie['poster_path']}" if movie.get('poster_path') else None
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)
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movie_data["overview"].append(movie.get("overview", "No overview available"))
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movie_data["rating"].append(movie.get("vote_average", 0))
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movie_data["id"].append(movie["id"])
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return pd.DataFrame(movie_data)
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except Exception as e:
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print(f"Error fetching movies: {e}")
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return pd.DataFrame(columns=["title", "poster_url", "overview", "rating", "id"])
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def get_movie_trailer(movie_id: int) -> str:
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"""Fetch movie trailer URL from TMDB"""
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"accept": "application/json"
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}
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try:
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response = requests.get(
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f"{TMDB_BASE_URL}/movie/{movie_id}/videos",
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headers=headers
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)
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response.raise_for_status()
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videos = response.json().get("results", [])
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trailer = next(
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(v for v in videos if v["type"] == "Trailer" and v["site"] == "YouTube"),
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None
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)
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if trailer:
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return f'<iframe width="100%" height="400" src="https://www.youtube.com/embed/{trailer["key"]}" frameborder="0" allowfullscreen></iframe>'
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return '<p>No trailer available</p>'
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except Exception as e:
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print(f"Error fetching trailer: {e}")
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return '<p>Error loading trailer</p>'
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# Initialize global variables
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genres = fetch_genres()
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return None, None, None
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selected_movie = content_df.iloc[selected_idx]
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trailer_html = get_movie_trailer(selected_movie["id"])
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return (
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gr.HTML(value=trailer_html),
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selected_movie["title"],
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f"{selected_movie['title']}\n\nRating: {selected_movie['rating']}/10\n\n{selected_movie['overview']}"
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)
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# Gradio UI
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with gr.Blocks(theme=gr.themes.Soft()) as movie_app:
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gr.Markdown("""
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# 🎬 Movie Explorer
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Browse popular movies, watch trailers, and explore different genres!
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""")
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with gr.Row():
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genre_dropdown = gr.Dropdown(
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with gr.Row():
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trailer_html = gr.HTML(label="Trailer")
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with gr.Row():
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with gr.Column():
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gallery.select(
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fn=get_movie_info,
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outputs=[trailer_html, selected_movie_title, movie_info]
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)
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rate_button.click(
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outputs=rating_output
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)
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if __name__ == "__main__":
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movie_app.launch()
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