Update app.py

app.py

@@ -1,63 +1,44 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
+def movie_suggestion(genre):
+    movies = {
+        "action": [
+            {"title": "Mad Max: Fury Road", "description": "A high-octane post-apocalyptic thriller. 🚗💥"},
+            {"title": "John Wick", "description": "A retired hitman seeks vengeance. 🕵️‍♂️🔫"},
+            {"title": "Die Hard", "description": "An NYPD officer tries to save his wife and others taken hostage by terrorists. 🚓🧨"}
+        ],
+        "comedy": [
+            {"title": "The Grand Budapest Hotel", "description": "A quirky comedy set in a famous European hotel. 🏨😂"},
+            {"title": "Superbad", "description": "Two friends try to make the most of their last days of high school. 🎓🤣"},
+            {"title": "Step Brothers", "description": "Two middle-aged men become step brothers and cause chaos. 👨‍🦱👨‍🦰🤪"}
+        ],
+        "drama": [
+            {"title": "The Pursuit of Happyness", "description": "A man's struggle with homelessness while raising his son. 👨‍👦😢"},
+            {"title": "Forrest Gump", "description": "The story of a man's extraordinary life. 🏃‍♂️🎖️"},
+            {"title": "The Shawshank Redemption", "description": "A man imprisoned for a crime he didn't commit forms a friendship with a fellow inmate. 🚔🤝"}
+        ],
+        "sci-fi": [
+            {"title": "Dune", "description": "A young man faces his destiny on a desert planet. 🏜️👨‍🚀"},
+            {"title": "Blade Runner 2049", "description": "A futuristic detective uncovers secrets about human existence. 🤖🔍"},
+            {"title": "Interstellar", "description": "A team of explorers travel through a wormhole in space. 🌌🚀"}
+        ]
+    }
+    
+    if genre.lower() in movies:
+        genre_movies = movies[genre.lower()]
+        suggestions = "Here are some movie suggestions based on your selected genre:\n\n"
+        for movie in genre_movies:
+            suggestions += f"**{movie['title']}**: {movie['description']}\n\n"
+        return suggestions
+    else:
+        return "Sorry, we don't have suggestions for that genre yet!"
+
+interface = gr.Interface(
+    fn=movie_suggestion,
+    inputs=gr.Dropdown(["Action", "Comedy", "Drama", "Sci-Fi"], label="Choose a genre"),
+    outputs=gr.Markdown(),
+    title="Movie Suggestions",
+    description="Choose your preferred genre to receive a list of recommended movies."
 )
 
-
-if __name__ == "__main__":
-    demo.launch()
+interface.launch()