adding appns

.gitignore

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+.env

app.py

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+import os
+import requests
+import gradio as gr
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+
+# Get the Hugging Face API key from environment variables
+hf_api_key = os.getenv("HF_API_KEY")
+
+# Ensure the API key is loaded correctly
+if hf_api_key is None:
+    raise ValueError("Hugging Face API key not found. Please set it in the .env file.")
+
+# Hugging Face Inference API URL for the model
+api_url = "https://api-inference.huggingface.co/models/allenai/Molmo-7B-D-0924"
+
+# Function to generate questions based on the input text using the Hugging Face API
+def generate_question(text):
+    headers = {
+        "Authorization": f"Bearer {hf_api_key}",
+        "Content-Type": "application/json",
+    }
+
+    # Payload for the request
+    data = {
+        "inputs": text,
+        "parameters": {"max_length": 100, "do_sample": False},
+    }
+    
+    # Make the request to the Hugging Face API
+    response = requests.post(api_url, headers=headers, json=data)
+    
+    if response.status_code == 200:
+        result = response.json()
+        return result[0]["generated_text"]
+    else:
+        return f"Error: {response.status_code} - {response.text}"
+
+# Function to handle file input, read its contents, and generate questions
+def handle_file(file):
+    # Read the content of the file
+    file_text = file.read().decode("utf-8")  # Assuming it's a text file
+    # Generate a question based on the file content
+    question = generate_question(file_text)
+    return question
+
+# Gradio interface to accept a file and generate questions
+interface = gr.Interface(
+    fn=handle_file,
+    inputs=gr.File(label="Upload a text file"),
+    outputs="text",
+    title="Quiz Question Generator",
+    description="Upload a file and the AI will generate quiz questions based on the text."
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    interface.launch()

requirements.txt

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+gradio
+requests
+python-dotenv