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Add support for optional LLM model parameter in content processing #261

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Add support for optional LLM model parameter in content processing #261

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10 changes: 8 additions & 2 deletions podcastfy/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -16,6 +16,7 @@
from podcastfy.utils.config import Config, load_config
from podcastfy.utils.config_conversation import load_conversation_config
from podcastfy.utils.logger import setup_logger
from langchain_core.language_models.base import BaseLanguageModel
from typing import List, Optional, Dict, Any
import copy

Expand Down Expand Up @@ -51,6 +52,7 @@ def process_content(
text: Optional[str] = None,
model_name: Optional[str] = None,
api_key_label: Optional[str] = None,
llm_model: Optional[BaseLanguageModel] = None,
topic: Optional[str] = None,
longform: bool = False
):
Expand Down Expand Up @@ -85,7 +87,8 @@ def process_content(
is_local=is_local,
model_name=model_name,
api_key_label=api_key_label,
conversation_config=conv_config.to_dict()
conversation_config=conv_config.to_dict(),
llm_model=llm_model
)

combined_content = ""
Expand Down Expand Up @@ -287,8 +290,9 @@ def generate_podcast(
text: Optional[str] = None,
llm_model_name: Optional[str] = None,
api_key_label: Optional[str] = None,
llm_model: Optional[BaseLanguageModel] = None,
topic: Optional[str] = None,
longform: bool = False,
longform: bool = False
) -> Optional[str]:
"""
Generate a podcast or transcript from a list of URLs, a file containing URLs, a transcript file, or image files.
Expand Down Expand Up @@ -354,6 +358,7 @@ def generate_podcast(
text=text,
model_name=llm_model_name,
api_key_label=api_key_label,
llm_model=llm_model,
topic=topic,
longform=longform
)
Expand All @@ -380,6 +385,7 @@ def generate_podcast(
text=text,
model_name=llm_model_name,
api_key_label=api_key_label,
llm_model=llm_model,
topic=topic,
longform=longform
)
Expand Down
11 changes: 9 additions & 2 deletions podcastfy/content_generator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,8 @@
from langchain.prompts import HumanMessagePromptTemplate
from abc import ABC, abstractmethod

from langchain_core.language_models.base import BaseLanguageModel

logger = logging.getLogger(__name__)


Expand All @@ -34,6 +36,7 @@ def __init__(
max_output_tokens: int,
model_name: str,
api_key_label: str = "GEMINI_API_KEY",
llm_model: Optional[BaseLanguageModel] = None
):
"""
Initialize the LLMBackend.
Expand All @@ -56,7 +59,9 @@ def __init__(
"frequency_penalty": 0.75, # Avoid repetition
}

if is_local:
if llm_model:
self.llm = llm_model
elif is_local:
self.llm = Llamafile() # replace with ollama
elif (
"gemini" in self.model_name.lower()
Expand Down Expand Up @@ -708,7 +713,8 @@ def __init__(
is_local: bool=False,
model_name: str="gemini-1.5-pro-latest",
api_key_label: str="GEMINI_API_KEY",
conversation_config: Optional[Dict[str, Any]] = None
conversation_config: Optional[Dict[str, Any]] = None,
llm_model: Optional[BaseLanguageModel] = None,
):
"""
Initialize the ContentGenerator.
Expand Down Expand Up @@ -749,6 +755,7 @@ def __init__(
),
model_name=model_name,
api_key_label=api_key_label,
llm_model=llm_model
)

self.llm = llm_backend.llm
Expand Down