Create funtions.py

funtions.py

@@ -0,0 +1,150 @@
+from exa_py import Exa
+from groq import Groq
+import os
+
+# Declare the exa search API
+exa = Exa(api_key=os.getenv("EXA_API_KEY"))
+
+# Define your API Model and key
+client = Groq(api_key=os.getenv("GROQ_API_KEY"))
+utilized_model = "llama3-70b-8192"
+
+highlights_options = {
+    "num_sentences": 7,  # Length of highlights
+    "highlights_per_url": 1,  # Get the best highlight for each URL
+}
+
+def call_llm(prompt):
+    search_response = exa.search_and_contents(query=prompt, highlights=highlights_options, num_results=3, use_autoprompt=True)
+    info = [sr.highlights[0] for sr in search_response.results]
+    
+    system_prompt = "You are an academic PhD proposal generator. Read the provided contexts and, if relevant, use them to generate a well-structured research proposal."
+    user_prompt = f"Sources: {info}\nResearch Prompt: {prompt}"
+    
+    completion = client.chat.completions.create(
+        model=utilized_model,
+        messages=[
+            {"role": "system", "content": system_prompt},
+            {"role": "user", "content": user_prompt},
+        ]
+    )
+    return completion.choices[0].message.content
+
+def generate_executive_summary(data):
+    prompt = f"""
+    Generate a concise executive summary for a PhD research proposal based on the following information:
+    
+    Research Topic: {data["research_topic"]}
+    Research Question: {data["research_question"]}
+    Objectives: {data["objectives"]}
+    Methodology: {data["methodology"]}
+    Contribution to the Field: {data["contribution"]}
+    Literature Gap: {data["literature_gap"]}
+    
+    The summary should highlight the research problem, its significance, the approach, and expected contributions.
+    """
+    return call_llm(prompt)
+
+def generate_literature_review_outline(data):
+    prompt = f"""
+    Generate a structured outline for the literature review of a PhD thesis on the following topic:
+    
+    Research Topic: {data["research_topic"]}
+    Key Authors: {data["key_authors"]}
+    Recent Developments: {data["recent_developments"]}
+    Gaps in Literature: {data["literature_gap"]}
+    
+    The outline should cover key themes, debates, and the relevance of existing work to the proposed research.
+    """
+    return call_llm(prompt)
+
+def generate_methodology_section(data):
+    prompt = f"""
+    Write a detailed research methodology section for a PhD proposal based on the following:
+    
+    Research Topic: {data["research_topic"]}
+    Data Collection Methods: {data["data_collection"]}
+    Data Analysis Methods: {data["data_analysis"]}
+    Justification: {data["justification"]}
+    
+    The methodology should demonstrate how the research will be conducted reliably and validly.
+    """
+    return call_llm(prompt)
+
+def generate_research_objectives(data):
+    prompt = f"""
+    Generate a detailed list of short-term and long-term research objectives for the following PhD thesis topic:
+    
+    Research Topic: {data["research_topic"]}
+    Objectives: {data["objectives"]}
+    
+    The objectives should follow the SMART criteria (Specific, Measurable, Achievable, Relevant, and Time-bound).
+    """
+    return call_llm(prompt)
+
+def generate_hypotheses(data):
+    prompt = f"""
+    Generate research hypotheses based on the following topic:
+    
+    Research Topic: {data["research_topic"]}
+    Research Question: {data["research_question"]}
+    
+    The hypotheses should clearly predict expected outcomes based on theoretical foundations.
+    """
+    return call_llm(prompt)
+
+def generate_contribution_statement(data):
+    prompt = f"""
+    Generate a statement of contribution for the following PhD research proposal:
+    
+    Research Topic: {data["research_topic"]}
+    Contribution to the Field: {data["contribution"]}
+    
+    The statement should highlight how the research will address existing gaps and advance knowledge in the field.
+    """
+    return call_llm(prompt)
+
+def generate_research_timeline(data):
+    prompt = f"""
+    Generate a detailed research timeline for completing a PhD thesis on the following topic:
+    
+    Research Topic: {data["research_topic"]}
+    Total Timeframe: {data["total_timeframe"]}
+    
+    The timeline should break down tasks into manageable phases (e.g., literature review, data collection, analysis) with deadlines.
+    """
+    return call_llm(prompt)
+
+def generate_proposal_introduction(data):
+    prompt = f"""
+    Write an engaging introduction for a PhD proposal on the following research topic:
+    
+    Research Topic: {data["research_topic"]}
+    Research Problem: {data["research_problem"]}
+    
+    The introduction should provide background, introduce the problem, and explain the significance of the research.
+    """
+    return call_llm(prompt)
+
+def generate_limitations_section(data):
+    prompt = f"""
+    Generate a section describing the potential limitations and challenges of the following research:
+    
+    Research Topic: {data["research_topic"]}
+    Methodology: {data["methodology"]}
+    
+    The limitations should address possible obstacles and suggest ways to mitigate them.
+    """
+    return call_llm(prompt)
+
+def generate_future_work_section(data):
+    prompt = f"""
+    Generate a section on future work based on the following research:
+    
+    Research Topic: {data["research_topic"]}
+    Contribution: {data["contribution"]}
+    
+    The future work section should suggest further areas for research that could build upon the findings.
+    """
+    return call_llm(prompt)
+