mise a jourc

app.py

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+from huggingface_hub import InferenceClient
+import gradio as gr
+
+def hf_chat(api_key, system_prompt, user_prompt, temperature, max_tokens, top_p):
+    try:
+        # Initialize the Hugging Face Inference Client
+        client = InferenceClient(api_key=api_key)
+
+        # Prepare the messages
+        messages = [
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": user_prompt}
+        ]
+
+        # Stream the response from the Hugging Face model
+        stream = client.chat.completions.create(
+            model="Qwen/Qwen2.5-72B-Instruct",
+            messages=messages,
+            temperature=temperature,
+            max_tokens=max_tokens,
+            top_p=top_p,
+            stream=True
+        )
+
+        # Concatenate the streamed content
+        output = ""
+        for chunk in stream:
+            output += chunk.choices[0].delta.content
+
+        return output
+
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Define the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("""# history prof it is my first appli.
+     i am bad in history but to help me for my homework i makeing
+    a ai.""")
+
+    api_key_input = gr.Textbox(label="Hugging Face API Key", placeholder="Enter your Hugging Face API key", type="password")
+    system_prompt_input = gr.Textbox(label="ethan's history prof", value="You are a history professor 5e in FRENCH.", placeholder="you are a history professor 5e in FRENCH.")
+    user_prompt_input = gr.Textbox(label="user chat", placeholder="metez votre question ici.")
+   
+
+    temperature_slider = gr.Slider(label="Temperature", minimum=0.0, maximum=1.0, value=0.7, step=0.1)
+    max_tokens_slider = gr.Slider(label="Max Tokens", minimum=10, maximum=2048, value=100, step=10)
+    top_p_slider = gr.Slider(label="Top P", minimum=0.1, maximum=1.0, value=0.7, step=0.1)
+
+    output = gr.Textbox(label="history prof 👨‍🏫")
+
+    generate_button = gr.Button("📖")
+
+    generate_button.click(
+        hf_chat,
+        inputs=[
+            api_key_input, 
+            system_prompt_input, 
+            user_prompt_input, 
+            temperature_slider, 
+            max_tokens_slider, 
+            top_p_slider
+        ],
+        outputs=[output]
+    )
+
+if __name__ == "__main__":
+    demo.launch()
+
+    #Merci papa de m'avoir offert cet ordi ❤️❤️❤️

requirements.txt

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+gradio
+requests
+huggingface_hub