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Update app.py
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app.py
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@@ -14,30 +14,27 @@ client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
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# return prompt
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def format_prompt(topic, description, difficulty):
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prompt = (
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f"You are an expert educator. Generate structured educational content on the topic '{topic}'. "
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f"Use the following description as context: '{description}'. "
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f"The content should be suitable for a '{difficulty}' difficulty level and follow this
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f" Reading Content:\n"
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f" [Detailed explanation for Section 2]\n\n"
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f"4. Repeat the structure for each additional section.\n\n"
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f"Ensure the output is consistent, with headings, subheadings, and content for every section."
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)
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return prompt
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# The function to generate learning content based on the inputs
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def generate_learning_content(topic, description, difficulty, temperature=0.9, max_new_tokens=2000, top_p=0.95, repetition_penalty=1.2):
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temperature = max(float(temperature), 1e-2) # Ensure minimum temperature
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# return prompt
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def format_prompt(topic, description, difficulty):
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prompt = (
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f"You are an expert educator. Generate highly engaging and structured educational content on the topic '{topic}'. "
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f"Use the following description as context: '{description}'. "
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f"The content should be suitable for a '{difficulty}' difficulty level and MUST strictly follow this format:\n\n"
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f"Title: [The title of the topic]\n\n"
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f"Section 1:\n"
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f"Subheading: [A clear subheading summarizing the section]\n"
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f"Reading Content:\n"
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f"[Detailed explanation of the section content]\n\n"
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f"Section 2:\n"
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f"Subheading: [A clear subheading summarizing the section]\n"
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f"Reading Content:\n"
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f"[Detailed explanation of the section content]\n\n"
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f"Repeat this structure for all additional sections.\n\n"
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f"Do not generate any hashtags, extra symbols, or additional formats outside the specified structure. "
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f"Ensure all content is well-structured, concise, and informative."
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)
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return prompt
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# The function to generate learning content based on the inputs
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def generate_learning_content(topic, description, difficulty, temperature=0.9, max_new_tokens=2000, top_p=0.95, repetition_penalty=1.2):
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temperature = max(float(temperature), 1e-2) # Ensure minimum temperature
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