Improved Synopsis

app.py

@@ -335,7 +335,9 @@ if __name__ == "__main__":
     jsonify_functions = {
         "identity": lambda x: x,
         "dataframe": lambda x: (
-            x.to_dict(orient="records") if isinstance(x, pd.DataFrame) else x
+            x.to_dict(orient="records")
+            if isinstance(x, pd.DataFrame) or isinstance(x, pd.Series)
+            else x
         ),
         "reponse_with_citations": lambda x: x,
     }

autoqa_chains.py

@@ -16,7 +16,7 @@ class AutoQA(BaseModel):
 qa_prompt_template = """
 Generate 10 insightful questions and their corresponding detailed answers about the key aspects of a specific machine learning research paper. 
 The focus should be on the paper's objectives, methodology, key findings, and implications for future research or application. 
-The answers must be based on the content of the research paper, offering clear and comprehensive insights for readers who may not be experts in the field.
+The answers must be based on the content of the research paper, offering clear and comprehensive insights for readers.
 Ensure that the questions cover a broad range of topics related to the paper, including but not limited to the introduction, literature review, \
 methodology, results, discussion, and conclusions. 
 The goal is to capture the essence of the paper in a way that is accessible to a broad audience.

synopsis_chain.py

@@ -4,23 +4,25 @@ from langchain_core.output_parsers import StrOutputParser
 synopsis_prompt_template = """
 Research Paper: {paper}
 
-Could you provide a concise summary of this paper, highlighting the following key points:
-
-Objective: Begin by briefly describing the primary goal of the research. What problem is the paper trying to solve, or what hypothesis is it testing? Mention the specific domain of machine learning it pertains to (e.g., supervised learning, unsupervised learning, reinforcement learning, deep learning, etc.).
-
-Background: Provide a concise overview of the context and motivation behind the research. Why is this problem important? What are the key challenges that previous studies have not addressed, which this paper seeks to overcome?
-
-Methods: Summarize the methodology used in the study. What are the key techniques, algorithms, or models proposed or evaluated? Mention any novel approach or significant modification to existing methods. Include information on the dataset(s) used, if applicable.
-
-Results: Highlight the main findings of the paper. What were the outcomes of applying the proposed methods? Include key metrics or statistics that demonstrate the effectiveness, efficiency, or advancements over previous approaches.
-
-Discussion and Implications: Discuss the significance of the results. What do these findings imply for the field of machine learning? How can they be applied in practice, or what future research directions do they suggest?
-
-Limitations: Briefly note any limitations or caveats of the study. Are there any specific conditions under which the findings may not hold? What aspects of the research could be improved upon?
-
-Conclusion: Conclude with a summary of the research paper's contributions to the field of machine learning. Reiterate the importance of the problem addressed and the impact of the findings.
+Your task is to write a comprehensive and detailed summary of the given research paper in Markdown format. 
+The summary should be designed to serve as a standalone document that provides all essential insights from the original paper, allowing readers to understand the core findings, methodologies, and implications without needing to consult the original paper. 
+Adhere to the following guidelines to ensure the summary meets the required standards:
+
+1. **Comprehensive Coverage**: Include all key points, findings, methodologies, and conclusions from the research paper. The summary should capture the essence of the paper, including its purpose, research questions, study design, results, and significance.
+2. **In-depth Methodology Analysis**: Provide a detailed examination of the research paper's methodology. Highlight the design, approach, and techniques with precision and depth, ensuring this section is the focal point of your summary.
+3. **Independent Writing Style**: Write the summary in your own words, ensuring it reads as an independent article. Do not reference the original author(s) or the paper directly within the text, and avoid phrases that imply direct quotations or attributions.
+4. **Structured Format**: Utilize Markdown formatting to organize the summary effectively. Use headings, subheadings, and bullet points to structure the content, making it accessible and easy to navigate. 
+5. **Clarity and Precision**: Ensure that the summary is written clearly and concisely, avoiding technical jargon where possible and explaining necessary terms. The goal is to make the summary informative and understandable to readers with a general background in the subject area.
+6. *Results with References**: Explicitly mention relevant figures or tables when discussing the results. This inclusion should aid in illustrating the paper's findings more vividly and accurately.
+
+**Expected Output**:
+
+- A Markdown document that adheres to the guidelines provided, effectively summarizing the research paper.
+- The summary should include sections for the introduction, methodology, results, discussion, and conclusion, with paragraphs for explanations and bullet points used to list key findings and implications.
+- The document should be atleast 1,500 words to ensure in-depth coverage.
 """
 
+
 synopsis_output_parser = StrOutputParser()
 synopsis_prompt = PromptTemplate(
     template=synopsis_prompt_template,